A high quality finger vascular pattern dataset collected using a custom designed capturing device

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    Abstract

    The number of finger vascular pattern datasets available for the research community is scarce, therefore a new finger vascular pattern dataset containing 1440 images is prsented. This dataset is unique in its kind as the images are of high resolution and have a known pixel density. Furthermore this is the first dataset which contains the age, gender and handedness of the participating volunteers as meta data. The images have been captured using a custom designed capturing device. The various aspects of designing this capturing device are addressed in this paper as well. To confirm whether this new dataset is in fact an important contribution some performance figures in terms of EER of several published state-of-the-art algorithms using this new dataset and an existing dataset from the Peking University are presented. Using this new dataset EERs down to 0.4% have been achieved.
    Original languageEnglish
    Title of host publicationProceedings of the 2013 International Conference on Biometrics (ICB)
    Place of PublicationPiscataway, NJ, USA
    PublisherIEEE
    Pages1-5
    Number of pages5
    ISBN (Electronic)978-1-4799-0310-8
    DOIs
    Publication statusPublished - 4 Jun 2013
    Event6th IAPR International Conference on Biometrics, ICB 2013 - School of Mining Engineering, Madrid, Spain
    Duration: 4 Jun 20137 Jun 2013
    Conference number: 6
    https://atvs.ii.uam.es/icb2013/

    Publication series

    NameProceedings International Conference on Biometrics (ICB)
    PublisherIEEE
    Volume2013
    ISSN (Print)2376-4201

    Conference

    Conference6th IAPR International Conference on Biometrics, ICB 2013
    Abbreviated titleICB
    CountrySpain
    CityMadrid
    Period4/06/137/06/13
    Internet address

    Keywords

    • SCS-Safety
    • Finger vein
    • Biometrics
    • Sensor
    • Vascular pattern recognition
    • Database

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